Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 4 Ways Digital Businesses Use Data Analytics For Email Risk Scores
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Risk Management > 4 Ways Digital Businesses Use Data Analytics For Email Risk Scores
AnalyticsBig DataData ManagementRisk Management

4 Ways Digital Businesses Use Data Analytics For Email Risk Scores

Data analytics are a fantastic option for assessing email risk scores. Here's how digital businesses are using them for the better.

Brad Lowrey
Brad Lowrey
5 Min Read
email data analytics and risk score
Shuttestock Licensed Photo - By Sammby | stock vector ID: 1159454149
SHARE

Data analytics is changing the face of digital communications. A growing number of companies that rely heavily on email communications are using big data to streamline content and improve the user experience. One of the biggest applications of big data in email is by fighting spam and fraud.

Contents
  • Data Analytics is Playing a Crucial Role in Fighting Email Fraud
  • Become Familiar With the E-Mail Risk Score
  • Verify the E-Mail Address of the User
  • Linking an E-Mail to Social Media
  • Check Against Blacklists
    • Big Data is the Key to Fighting Email Fraud

Data Analytics is Playing a Crucial Role in Fighting Email Fraud

It is now more important than ever for businesses to interact with customers and partners online. When doing this, though, you open yourself up to the risk of online fraud. Online fraud is nothing to joke around with, costing businesses tens of billions of dollars annually. Fortunately, big data can address this issue.

The ease and simplicity of taking orders and business transactions online make it quite appealing for businesses big and small. There is a lot of risks that go along with it though, especially verifying the identity of your buyer before going through with the transaction approval. As a business, there are steps you can take to use big data to come up with an e-mail risk score to help validate if the user is legitimate.

Become Familiar With the E-Mail Risk Score

To put the e-mail risk scoring process to use for your business, you need to understand it first. The process behind e-mail risk scoring revolves around algorithms. As transactions are put through with an e-mail address to do things such as order food, open a bank account, etc. a risk score is given to that e-mail and its transaction.

More Read

cloud data security tips
4 Guidelines for Protecting Your Data with Cloud Backup Software
7 Big Data Trends for 2014
The Quantified Self, Part I: Will it Lead to Better Data Management?
Using Data to Drive Marketing Automation Success
Let your gray hair light your way through unfamiliar data

The algorithm runs in real-time to help the business make a decision on whether they should approve the transaction, or flag it as fraudulent and prevent it. Tools, such as SEON’s Sense Platform, can integrate with eCommerce platforms to dynamically determine the legitimacy of email addresses, phone numbers and IP’s trying to complete orders through data enrichment and analysis. When you put in place e-mail risk scores you can quickly work to try and reduce online fraud losses and minimize risk exposure.

Verify the E-Mail Address of the User

One of the easiest ways to use an e-mail risk scoring process to your advantage as a business is to put an e-mail validation process in place. Putting steps, such as a real-time SMTP check, to make sure the e-mail is valid can help you be more comfortable with the transaction coming through.

Linking an E-Mail to Social Media

You can also use e-mail risk scoring to link an e-mail address up to social media accounts. When you have someone with an e-mail on social media, it is less likely that it will be fraudulent. This makes it more likely the e-mail is legitimate and has a tie to a real person. You can also use the social media profiling process to get more information on the individual to do a better assessment of their risk.

Check Against Blacklists

There are lists out there which are the public blacklists. If there are e-mails going through transactions for your business that are on the blacklist, flagging them is ideal. This can allow you to prevent fraud before it has a chance to start. Have an e-mail risk scoring process in place too heck the e-mails against the known blacklists.

Using e-mail risk scoring processes can help businesses of all sizes better combat online fraud. With the need to be on top of your game when it comes to fraud prevention, take advantage of the great online tools available.  Businesses need to be able to perform online transactions with confidence.  When they have customers making purchases, knowing they are legitimate before they accept the order gives assurance through the sales lifecycle.

Big Data is the Key to Fighting Email Fraud

Email fraud is a growing concern. Fortunately, big data has made it easier to fight than ever. Companies should use big data to facilitate fraud prevention by developing email risk scores.

TAGGED:data analyticsdata analytics for email risk scoreemail risk
Share This Article
Facebook Pinterest LinkedIn
Share
ByBrad Lowrey
Follow:
Brad is an assistant editor at ChamberofCommerce.com. He is an expert copywriter with over 10 years experience writing about business subject like productivity, HR, marketing and leadership.

Follow us on Facebook

Latest News

AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic
data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

analytics revolution with NBA data
AnalyticsExclusive

How The NBA Data And Analytics Revolution Has Changed The Game

8 Min Read
artificial intelligence bubble
Artificial IntelligenceExclusive

Is An Artificial Intelligence Bubble Threatening Software Development?

6 Min Read
seo in the age of data analytics
Analytics

Link Building Basics For SEO In The Age Of Data Analytics

10 Min Read
Image
Analytics

Is Big Data Failing?

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?